WizardLM-Uncensored-Falcon-7b
| Property | Value |
|---|---|
| License | Apache-2.0 |
| Base Model | Falcon-7b |
| Framework | PyTorch |
| Tags | Text Generation, Transformers, RefinedWebModel |
What is WizardLM-Uncensored-Falcon-7b?
WizardLM-Uncensored-Falcon-7b is a specialized variant of WizardLM built on the Falcon-7b architecture, specifically designed to operate without built-in alignment constraints. This model was trained on a carefully curated subset of the original dataset, where responses containing alignment or moralizing elements were deliberately removed to create a more neutral base model.
Implementation Details
The model utilizes the Falcon-7b architecture as its foundation and implements the WizardLM training methodology. It's specifically designed to support text-generation-inference and can be deployed through Inference Endpoints.
- Built on tiiuae/falcon-7b architecture
- Implements PyTorch framework
- Supports custom code integration
- Uses WizardLM prompt format
Core Capabilities
- Unrestricted text generation without built-in guardrails
- Flexible integration with custom alignment techniques
- Support for RLHF LoRA fine-tuning
- Efficient inference deployment options
Frequently Asked Questions
Q: What makes this model unique?
This model's distinctive feature is its deliberate lack of built-in alignment or moral constraints, making it a flexible base for implementing custom alignment strategies through techniques like RLHF LoRA.
Q: What are the recommended use cases?
The model is intended for researchers and developers who need a base model for implementing custom alignment strategies. Users should note that this is an uncensored model without guardrails, and they are responsible for implementing appropriate safety measures and content filtering.
